MediMind AI
Local-first AI healthcare assistant using secure APIs and large language models.
What is MediMind AI?
Local-first AI healthcare assistant using secure APIs and large language models.
The problem we solved.
A private clinic group needed an AI assistant for clinical workflows — but strict data privacy regulations meant patient data could not leave their on-premise network. Every major AI API was off-limits. They needed the intelligence of a large language model with zero cloud dependency.
How we tackled it.
The key technical decision was Ollama as the local inference runtime, running Mistral 7B on the clinic's existing GPU servers. We designed the LangChain pipeline to work entirely within the local network, with structured output parsing ensuring every AI response conformed to a validated schema before reaching clinical staff.
What we built.
MediMind AI runs entirely on the clinic's hardware — no patient data ever leaves the building. Doctors interact through a clean React interface: type symptoms, receive structured triage output instantly. A full audit log satisfies all compliance requirements.
What MediMind AI does.
Interface preview.
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How it's built.
FastAPI backend on-premise, Ollama serving Mistral 7B on a local GPU node, MySQL for patient and audit data, JWT auth with refresh token rotation. The React frontend communicates only with the local FastAPI instance — no external network calls exist in the production build.
Stack used.
Outcomes & impact.
Clinical triage time reduced by 35%. The clinic passed their annual data privacy audit with zero AI-related findings. The solution has since been licensed to two additional clinic branches.
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